Parametric modeling of localized melanoma prognosis and outcome

Shouluan Ding, Seng Jaw Soong, Hui Yi Lin, Renee Desmond, Charles M. Balch

Research output: Contribution to journalArticle

Abstract

This investigation explored the most suitable parametric model for melanoma prognosis and compared it with the Cox model. Cox-Snell residuals and survival function plots were applied to assess whether the generalized gamma (GG) model was the best-fit parametric model for the data. The GG model is a powerful alternative to the Cox model in prognostic modeling. The GG model offers an advantage of explicit and flexible individualized hazard functions over the Cox model and provides a clinically useful risk assessment over time to aid clinicians in formulating patient treatment, follow-up plans, and clinical trial design and analysis.

Original languageEnglish (US)
Pages (from-to)732-747
Number of pages16
JournalJournal of biopharmaceutical statistics
Volume19
Issue number4
DOIs
StatePublished - Jul 1 2009

Keywords

  • Accelerated failure time models
  • Cox model
  • Generalized gamma distribution
  • Melanoma survival data
  • Mortality
  • Parametric models

ASJC Scopus subject areas

  • Statistics and Probability
  • Pharmacology
  • Pharmacology (medical)

Fingerprint Dive into the research topics of 'Parametric modeling of localized melanoma prognosis and outcome'. Together they form a unique fingerprint.

  • Cite this